biochemical markers for the prediction of preterm birth american journal of obstetrics and...
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Biochemical markers for the prediction of preterm birth
American Journal of Obstetrics and Gynecology
2005 May, S36-46산부인과 조인호
Introduction
Preterm birth is the most responsible for poor pregnancy outcome in the US and many other developed countries.
70% of neonatal death.
½ of preterm birth : long-term neurologic disability
Definition: before 37wks of GA -> spontaneous onset of labor or rupture of the fetal membranes.
Reasons of Prediction of preterm labor
Initiate appropriate risk-specific treatment
Define a population of women who are at risk, -> we can study a particular treatment.
Being able to predict the Preterm labor which ma allow us to gain important insights
Source of biologic fluid
Amniotic fluid, urine, cervical mucus, vaginal secretion, serum or plasma, saliva
Consideration Biologically plausible Ease of collection Costs Safety
Timing
Time that the sample is collected. ALP, ferritine in plasma level
<20wks of gestation : little value in the prediction of a preterm labor
24wks of gestation : highly predictive of preterm birth.
Fetal fibronection >24wks of gestation : less predictive value
Timing
Matrix metalloproteinase-9 24 hours before the Initiation of Labor
or PPROM -> turn positive The time between test turn positive
and the beginning of labor or PPROM is so little.
Timing
Bacterial vaginosis : strong predictor of of prematurity ->sufficiently early in gestational age and intervention.
Fetal fibronectin test : 22-24wks of gestation
The time of day of the sample collection may also be important.
Salivary estriol predicts late preterm births quite well, but 36wks birth is not important.
Predictive value
Any preterm predictive test and positive prdictive values generally should be high for the test to be useful.
Some investigators have found negative predictive value (ie, the ability to predict who will not haver a preterm birth) to be useful and cost saving. Fetal fibronectin : high negative predictive val
ue
Classification of types of biologic marker
Placental proteins A-fetoprotein, major basic protein, placental isoferriti
n Placental protein hormones
CRH, adrenocorticotropin, prolactin, hCG Non-protein hormones
Estrogens, progestines Non-hormonal proteins
ALP, ferritin in placental site or extrauterine sites
Infection-related factors
In the last decade, it has become clear Infection/inflammation has a strong association with preterm delivery.
Define markers of inflammation: C-reative protein : ferritin, interleukins, chemo
kines, cytokines, defensins, bacteria and bacterial products.
Cervical and vaginal fluid
Many of substances have been found in cervical or vaginal fluids for their ability to predict spontaneous preterm birth. Gonococcus, Chlamydia, group B- streptococc
us, herpes virus … Baterial vaginosis : 2-fold increased risk o
f spontaneous preterm birth. Associated with an increased risk for intrauter
ine infection.
Cervical and vaginal fluid
Various cytokines associated with preterm birth. IL-6, monocyte chemotactic protein 1, IGF binding prot
ein 1, WBC, collagen synthesis and degradation Fetal fibronectin
Produced by fetal membranes and trophoblasts Before 20wks : not found in the cervix and vagina (>50
ng/mL) 22-24wks : positive 이면 very powerful predictor 24wks : postive 이면 4wks 후 preterm birth 가 올
확률이 60 배 증가
Amniotic fluid
Generally is not obtained from asymptomatic women
GA 16-18wks Increased IL-6
Wenstrom et al : associated with fetal loss within next 4wks Presence of Ureaplasma
Symptomatic women Marker of infection in amniotic fluid
Various cytokines [IL-1, IL-6, TNF-a], WBC, defensins, various metalloproteinases, low glucose levels
Urine
Various hormones and various organisms -> useful marker
Urine DNA examination (Chlamydia, gonorrhea) -> prediction of vaginal or cervical colonization
Saliva
Ultrafiltrate of plasma Easiest fluid to collect Recently, estriol has potential relationship to pre
term labor Unconjugated steroid hormones -> saliva (diffusion)
But, estriol was better marker for late preterm labor
Limitation Patient activity/posture, food consumtion Oral lesions, abrasions, gingivitis
Serum/Plasma
Over the last several decades, hundreds of publications have attempted to evaluate various plasma (or serum) components for predict preterm birth
G-CSF, ferritin level (strongest) High a-fetoprotein, ALP, high CRH (useful mar
ker)
Multiple markers
Powerful predictor A-fetoprotein, ALP, G-CSF (maternal serum) Fetal fibronectin (cervicovaginal mucus) Cervical length (ultrasound)
Several biologic markers together might be useful.
Genomics/Proteomics
Genomics Gene expression -> mRNA Relation
Host genome, gene expression, phenotype
Proteomics Complete protein complement, proteome Relation
Disease, phenotype of interest
Genomics/Proteomics
Genetic study Single nucleotide polymorphism relate on pret
erm birth But, results have been inconsistent Research tools (available)
Gene array chips, gene sequencing Protein array chips, mass spectrometry
Now, these technique has only begun to explored to idendifiy gene/protein
Clinical utility
Identification of biomarkers Insights into the pathophysiologic condition of
these pregnancy complication Identify highest risk women for targeted interv
entions. But, few markers have high test sensitivit
y, specificity, and positive predictive value Few interventions have shown to be of ben
efit to prevent or reduce the incidence of preterm birth
Clinical utility
Scenario Increased cervical/vaginal fetal fibronectin (bi
omarker) -> Antibiotics (intervention) Failed to prevent subsequent preterm birth.
Clinical utility
Recently, Progesterone use to reduce preterm birth. Target : Hx. of preterm birth/not biologic fluid
marker So, define that populaton that is appropriate f
or treatment But, the other various markers haver the pote
ntial to better. In addintion, mid-trimester : maternal serum
progesterone 이 상승 .-> preterm birth 의 marker
Comment
The goal of the study Understand pathways that lead to
preterm birth To define a high-risk population for
future intervention studies To select a population in which a
specific prevention intervention is to be used, or occasionally
To select a population that is at low risk so that they may be spared various interventions.